Project description:Purpose: Porcine alveolar macrophage was infected by T. gondii including Rh strain and Me49 strain. We want to explore the change of miRNAs after infected with T. gondii in porcine alveolar macrophages. Results: Our study generated six mi RNA expression profiles from macrophages which infect with Rh strain and Me49 and control group in different time. Compare with T. gondii-infected and uninfected with T. gondii, 81 differentially expressed mi RNAs were identified, including 36 novel mi RNAs and 45 mature mi RNAs.
Project description:To gain a more complete understanding of how porcine cathelicidin PR-39 influence the porcine intestinal epithelial cells, we profiled gene expression patterns in IPEC-J2 cell line in the presence or the absence of PR-39.
Project description:Porcine cytomegalovirus (PCMV; genus Cytomegalovirus, subfamily Betaherpesvirinae, family Herpesviridae) is an immunosuppressive virus that mainly inhibits the immune function of T lymphocytes and macrophages, which has caused great distress to the farming industry. In this study, we obtained the miRNA expression profiles of PCMV-infected and control porcine macrophages, PCMV-infected and control porcine tissues via high-throughput sequencing. The comprehensive analysis of miRNA profiles showed that 306 miRNA database annotated and 295 novel pig-encoded miRNAs were detected. Gene Ontology (GO) analysis of the target genes of miRNAs in PCMV infected porcine macrophages showed that the differentially expressed miRNAs are mainly involved in immune and metabolic process. This is the first report of the miRNA transcriptome in PCMV infected porcine macrophages and PCMV infected tissues and the analysis of the miRNA regulatory mechanism during PCMV infection. Further research into the regulatory mechanisms of miRNAs during immunosuppressive viral infections will contribute to the treatment and prevention of immunosuppressive viruses.
Project description:Copy number variations (CNVs), which represent a significant source of genetic diversity in mammals, are currently being associated with phenotypes of clinical relevance, mostly in humans and mice. Notwithstanding, little is known about the extent of CNV that contributes to genetic variation in farm animals, including pig. This Nimblegen experiment reports a genome-wide high resolution map of copy number variation in the porcine genome. After remapping the initial CNV sequences to the latest genome assembly (Sus scrofa v.9), 84 CNV regions (CNVRs) were identified among the genomes of 21 related porcine samples from Duroc breed. We used a set of NimbleGen CGH arrays that tile across the assayable portion of the pig genome with approximately 2.1 million probes, at a 502 bp average probe spacing (Sus scrofa pre assembly version 6). These CNVRs covered 2 Mb of the genome, and ranged in size from 4 to 352 kb (median size of 12 kb). Together, this analysis provides a useful resource to assist with the assessment of CNVs in the contexts of porcine variation, health and productive efficiency.
Project description:Sus scrofa (pig, or swine) is one of the most important economic animals and a close biological model for complex human diseases such as obesity and diabetes. It is therefore utterly important to decode the porcine microRNAome (miRNAome) as in the literature only a small portion of it is known. In this work, a comprehensive search for porcine microRNAs (miRNAs) by Illumina sequencing was performed in ten small RNA libraries prepared from mixtures of assorted tissues, which included those collected from fetuses to adult pigs. The millions of the sequencing reads were analyzed with reference to 77 known porcine miRNA precursors (pre-miRNAs) and 3,443 distinct pre-miRNAs of other mammals listed in miRBase 13.0, and the most updated porcine genome (Sscrofa9, April 2009) and available EST sequences. Additionally, miRNA candidates specific to pig are predicated by genome & EST match and hairpin folding. Our search found 72 out of 78 (~92%) known porcine miRNAs and miRNA*s, and 36 previously unannotated miRNA*s are also indentified. Furthermore, we discovered 397 novel miRNAs by mapping to the sequencing transcripts to other mammalian pre-miRNAs and 493 candidate miRNAs which do not map to other mammalian miRNAomes and could be pig-specific. We constructed sequence- and genome-position clusters for the total of 998 miRNA candidates originating from 862 pre-miRNAs, which represent 777 unique miRNA sequences. Together with the six known porcine miRNAs that not been observed in our study, we report herein the sequence families of 783 unique miRNAs and genomic distribution patterns of 622 pre-miRNAs. We preformed q-PCR experiments for selected 30 miRNAs in 47 tissue-specific samples and found agreement between the sequencing data and the q-PCR data. We envision that our report will serve as a valuable resource for future studies aimed at understanding miRNAome of pig